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Data mining for large scale 3D seismic data analysis

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Abstract

The automation of the analysis of large volumes of seismic data is a data mining problem, where a large database of 3D images is searched by content, for the identification of the regions that are of most interest to the oil industry. In this paper we perform this search using the 3D orientation histogram as a texture analysis tool to represent and identify regions within the data, which are compatible with a query texture.

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Authors and Affiliations

  1. Centre for Vision Speech and Signal Processing, School of Electronics & Physical Sciences, University of Surrey, Guildford, GU2 7XH, UK

    M. Deighton

  2. Communications and Signal Processing Group, Department of Electrical and Electronic Engineering, Imperial College, London, SW7 2AZ, UK

    M. Petrou

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  1. M. Deighton
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  2. M. Petrou
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Correspondence to M. Petrou.

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Deighton, M., Petrou, M. Data mining for large scale 3D seismic data analysis. Machine Vision and Applications 20, 11–22 (2009). https://doi.org/10.1007/s00138-007-0101-3

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  • DOI: https://doi.org/10.1007/s00138-007-0101-3

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